Predictive Analytics I
Durham
Coll of Professional Studies::Analytics
Credits: 4.0
Class Size: 25
Term:
Fall 2024
-
Full Term (08/26/2024
-
12/09/2024)
CRN:
14670
Grade Mode:
Letter Grading
A first course in predictive and prescriptive analytics. Supervised learning models including linear models and CART models. Model assessment and scoring methods, including cross-validation. Regularization and model tuning. Unsupervised learning models including k-means clustering. Project-based, with an emphasis on collaborative, experiential learning. Statistical software will be used and programming required.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Prerequisite(s): MATH 425 and COMP 570 and DATA 557
Instructors:
Matthew Magnusson
Times & Locations
Start Date | End Date | Days | Time | Location |
---|---|---|---|---|
8/26/2024 | 12/9/2024 | MWF | 1:10pm - 2:00pm | KING N113 |
Final Exam12/17/2024 | 12/17/2024 | T | 8:00am - 10:00am | KING N113 |